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Jakeschincariol

Trader Budget skill

Budget Manager. Sizes every position to your budget and your max loss per trade. Reads the trade plan from trader-exit (entry, stop, target), finds the whole shares that fit inside four limits (max loss per trade, position cap, max order, cash after your buffer), says which limit decided it, and writes ONE bracket order (entry, stop-loss, take-profit) to trader/orders.json in the exact shape of Alpaca's place_stock_o

$npx skills add Jakeschincariol/day-trader-skill --skill trader-budget
View this skill on GitHubJakeschincariol/day-trader-skill/trader-budget/SKILL.md
Pack stars
6,685
Pack installs
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Alyn Score
65/99
Updated
21 days ago
License
MIT
– views – installs via Alyn

Jakeschincariol

Trader Budget

Install Trader Budget

Pick your agent. Every command is ready to paste.

$npx skills add Jakeschincariol/day-trader-skill --skill trader-budget

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads trader-budget when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the trader-budget skill”. In Codex, type $trader-budget.

The skill itself

SKILL.md

FolderGitHub

trader-budget

The Budget Manager turns a plan ("buy TSLA at 364.18, stop 358.32") into an exact order ("buy 8 shares"), inside rules the user sets once. The stop decides the size: the further away the stop, the fewer shares. It writes a proposal only. trader-risk checks it and trader-broker asks the user yes or no. Day trading loses most people money. Sizing to a max loss keeps each loss small; it does not make a trade win.

${CLAUDE_SKILL_DIR} below is this skill's folder (where this SKILL.md lives).

python3 "${CLAUDE_SKILL_DIR}/size.py"                        # trader/plan.json + trader/config.json
python3 "${CLAUDE_SKILL_DIR}/size.py" --write                # write trader/orders.json
python3 "${CLAUDE_SKILL_DIR}/size.py" --limit --write        # a limit order at the plan's entry
python3 "${CLAUDE_SKILL_DIR}/size.py" --limit 364.00 --json  # a limit order at 364.00
python3 "${CLAUDE_SKILL_DIR}/size.py" --weights AAPL=40,KO=60 --config split.json   # weights mode, below

--now "2026-10-19 10:15" pins the clock (New York time). A plan for another day is refused: make a new one with trader-exit.

What it reads and writes

file what
trader/config.json the rules (start from config.example.json in this folder)
trader/plan.json the trade: entry, stop, target, setup, flat-by time (trader-exit writes it)
trader/prices.json optional: a fresh price above the plan's entry means a bigger risk (trader-alerts writes it)
trader/portfolio.json optional: its cash caps the size (trader-broker keeps it)
trader/orders.json the one proposed bracket order it writes with --write

Step 1: set the rules once

If trader/config.json does not exist, copy config.example.json into trader/config.json and ask the user for each value in plain words:

  • budget: how much money this is for. Only money they can afford to lose.
  • cash_buffer_pct: how much always stays in cash (default 10).
  • max_loss_per_trade_usd: the most one trade may lose if the stop fills at the stop (default 50).
  • max_position_pct, max_order_usd, min_order_usd: the biggest position (75% of the budget), the biggest order ($4,000) and the smallest order ($5).
  • The day limits trader-risk enforces: max_daily_loss_usd (150), max_trades_per_day (3), min_reward_risk (1.0), require_stop (true), no_entries_before / no_entries_after ("09:45" / "15:30") and flat_by ("15:55"), all New York time.
  • blocked: tickers they never want to trade.
  • Keep paper true until they have watched it work on a paper account.

Step 2: size the trade

python3 "${CLAUDE_SKILL_DIR}/size.py" --write

Whole shares only: Alpaca takes no fractions in a bracket order. The size is the smallest of four limits:

limit shares
max loss max_loss_per_trade_usd / risk a share (entry minus stop)
position cap budget x max_position_pct / entry
max order max_order_usd / entry
cash (budget minus the cash buffer) / entry, never more than the cash in trader/portfolio.json

The entry it sizes at: the limit price with --limit. For a market order, the plan's entry, or the price in trader/prices.json if it is fresh (under 15 minutes old) and higher. A price that ran up since the plan means a bigger loss at the same stop, so fewer shares. A lower price never shrinks the risk.

It refuses, and writes no order, when: the size is zero shares, the order is under the minimum, reward:risk is under min_reward_risk, the stop is not below the entry, the target is not above it (the move already happened), the plan is for another day, the ticker is blocked, or the plan is a short. Say the reason to the user in one line.

Step 3: show the user

Show the four limits, which one decided the size, the shares, the dollars and the max loss at the stop. Say plainly that a stop is an order, not a promise: in a fast market it can fill below the stop. Then hand over to /trader-risk.

Example: the reel

TSLA on Monday 2026-10-19. Opening-range breakout: entry 364.18 at 10:15 AM, stop 358.32 (the opening-range midpoint), target 370.04 (1R). Risk 5.86 a share. The example config: $5,000 budget, 10% cash buffer, $50 max loss.

limit the math shares
max loss $50 / 5.86 8 (decides it)
position cap 75% of $5,000 = $3,750 / 364.18 10
max order $4,000 / 364.18 10
cash $5,000 minus $500 = $4,500 / 364.18 12

8 shares = $2,913.44. Max loss at the stop: 8 x 5.86 = $46.88. It writes:

{"symbol": "TSLA", "side": "buy", "qty": "8", "type": "market", "time_in_force": "day",
 "order_class": "bracket", "take_profit_limit_price": "370.04", "stop_loss_stop_price": "358.32",
 "why": "opening-range breakout on TSLA: 8 shares, bound by your $50 max loss per trade (8 x 5.86 = $46.88 at the stop)",
 "plan": {"entry": 364.18, "stop": 358.32, "target": 370.04, "risk_per_share": 5.86, "max_loss": 46.88,
          "setup": "orb", "entry_time": "10:15 AM", "flat_by": "15:55"}}

why and plan are notes for trader-risk and trader-broker. They are never sent to Alpaca. With the stop at 300.00 instead, one share would risk 64.18, more than the $50 max loss: no order. At 10:52 the real quote was 366.48, so the same plan sizes to 6 shares at 8.16 a share, and reward:risk falls to 0.44: refused, because the move it was waiting for has mostly happened.

Weights mode (kept from v1)

--weights AAPL=22.04,KO=10.86 or --targets FILE (targets.example.json here) splits a budget across a list by weight: the cash buffer comes off the top, weights are renormalised to 100, any stock over max_position_pct is pinned at the cap and its excess shared out, slices under the minimum order are dropped, and amounts round to whole dollars so nothing is left idle by accident. With "max_position_pct": 25 and "fractional": true, the example file gives AAPL $1,250 (capped), AXP $1,119, GOOGL $823, KO $708, BAC $600. With "fractional": false (the example config) it buys whole shares and needs prices (--prices trader/prices.json). These are plain buys with no stop: trader-risk blocks them while require_stop is true and counts each one against max_trades_per_day. Use a separate config (--config) for a long-term split.

Rules

  • Proposals only. This skill never calls a broker tool.
  • Never size money the user has not said is for this. Ask for the budget and the max loss.
  • Every number comes from the config, the plan or the prices. Nothing is guessed.
  • No projections: never say what a trade will make. A target is a plan, not a forecast.
  • Free Yahoo prices are unofficial and can lag. The broker's price is the one that fills.

What it never does

It never places, approves or schedules an order, never raises a limit on its own, never shrinks a stop to fit more shares, and never sizes options, margin or short positions.

Safety

  • Education and tooling, not financial advice. A PASS is a rules check, not a recommendation.
  • Paper trading by default ("paper": true). Going live is the user's own decision, in their own config.
  • Nothing in this pack places an order except trader-broker, and only when all three hold: trader-risk passed that exact order today, the user typed an explicit yes for that one order in the chat, and the user clicked Allow once on Claude's own card because the order tool is set to "Needs approval" (Customize > Connectors > tool permissions). Never set an order tool to "Always allow".
  • No options, margin, short selling or leverage unless the config allows it and the user confirms.
  • Broker keys live in environment variables or the Claude Desktop config, never in the chat.

Tips for Trader Budget

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It is part of a pack with 11 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Trader Budget

What does the Trader Budget skill do?

Budget Manager. Sizes every position to your budget and your max loss per trade. Reads the trade plan from trader-exit (entry, stop, target), finds the whole shares that fit inside four limits (max loss per trade, position cap, max order, cash after your buffer), says which limit decided it, and writes ONE bracket order (entry, stop-loss, take-profit) to trader/orders.json in the exact shape of Alpaca's place_stock_o

How do I install Trader Budget?

Run "npx skills add Jakeschincariol/day-trader-skill --skill trader-budget" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Trader Budget work in Cursor and Codex?

Yes. Trader Budget uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Trader Budget free?

Trader Budget is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Trader Budget?

Trader Budget is published by Jakeschincariol in the Jakeschincariol/day-trader-skill repository, together with 10 other skills.

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